modify reader

README.md

@@ -24,7 +24,7 @@ task_ids:
 
 This is the repository for PLOD Dataset subset being used for CW in NLP module 2023-2024 at University of Surrey. 
 
-### Dataset
+### Original Dataset (Only for exploration. For CW, You must USE THE PLOD-CW subset)
 
 We provide two variants of our dataset - Filtered and Unfiltered. They are described in our paper here.
 

check.ipynb

@@ -2,9 +2,16 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0\n"
+     ]
+    },
     {
      "ename": "IndexError",
      "evalue": "list index out of range",
@@ -12,7 +19,7 @@
      "traceback": [
       "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
       "\u001b[0;31mIndexError\u001b[0m                                Traceback (most recent call last)",
-      "Input \u001b[0;32mIn [3]\u001b[0m, in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[1;32m     15\u001b[0m         tokens\u001b[38;5;241m.\u001b[39mappend(splits[\u001b[38;5;241m0\u001b[39m])\n\u001b[1;32m     16\u001b[0m         pos_tags\u001b[38;5;241m.\u001b[39mappend(splits[\u001b[38;5;241m1\u001b[39m])\n\u001b[0;32m---> 17\u001b[0m         ner_tags\u001b[38;5;241m.\u001b[39mappend(\u001b[43msplits\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m3\u001b[39;49m\u001b[43m]\u001b[49m\u001b[38;5;241m.\u001b[39mrstrip())\n\u001b[1;32m     18\u001b[0m \u001b[38;5;66;03m# last example\u001b[39;00m\n\u001b[1;32m     19\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m tokens:\n",
+      "Input \u001b[0;32mIn [4]\u001b[0m, in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[1;32m     16\u001b[0m         tokens\u001b[38;5;241m.\u001b[39mappend(splits[\u001b[38;5;241m0\u001b[39m])\n\u001b[1;32m     17\u001b[0m         pos_tags\u001b[38;5;241m.\u001b[39mappend(splits[\u001b[38;5;241m1\u001b[39m])\n\u001b[0;32m---> 18\u001b[0m         ner_tags\u001b[38;5;241m.\u001b[39mappend(\u001b[43msplits\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m3\u001b[39;49m\u001b[43m]\u001b[49m\u001b[38;5;241m.\u001b[39mrstrip())\n\u001b[1;32m     20\u001b[0m \u001b[38;5;66;03m# last example\u001b[39;00m\n\u001b[1;32m     21\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m tokens:\n",
       "\u001b[0;31mIndexError\u001b[0m: list index out of range"
      ]
     }
@@ -35,7 +42,7 @@
     "            splits = line.split(\" \")\n",
     "            tokens.append(splits[0])\n",
     "            pos_tags.append(splits[1])\n",
-    "            ner_tags.append(splits[3].rstrip())\n",
+    "            ner_tags.append(splits[2].rstrip())\n",
     "\n",
     "    # last example\n",
     "    if tokens:\n",